Triple
T3761200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tipper Gore |
E82164
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Tipper
Tipper is the commonly used nickname of Mary Elizabeth Gore, an American social issues advocate and the wife of former U.S. Vice President Al Gore.
|
E385853
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tipper | Statement: [Tipper Gore, nickname, Tipper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tipper Context triple: [Tipper Gore, nickname, Tipper]
-
A.
Tugg Speedman
Tugg Speedman is a fictional, fading action-movie star portrayed by Ben Stiller in the satirical war comedy film "Tropic Thunder."
-
B.
Benny the Cab
Benny the Cab is a wisecracking, anthropomorphic taxicab character from the live-action/animated film "Who Framed Roger Rabbit."
-
C.
Mr. Teabag
Mr. Teabag is a comically absurd civil servant portrayed by John Cleese in Monty Python’s “Ministry of Silly Walks” sketch, known for his exaggerated, nonsensical way of walking.
-
D.
Stuber
Stuber is a 2019 action-comedy film about a mild-mannered rideshare driver who gets roped into helping a tough cop track down a criminal, starring Kumail Nanjiani and Dave Bautista.
-
E.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tipper Triple: [Tipper Gore, nickname, Tipper]
Generated description
Tipper is the commonly used nickname of Mary Elizabeth Gore, an American social issues advocate and the wife of former U.S. Vice President Al Gore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tipper Target entity description: Tipper is the commonly used nickname of Mary Elizabeth Gore, an American social issues advocate and the wife of former U.S. Vice President Al Gore.
-
A.
Tugg Speedman
Tugg Speedman is a fictional, fading action-movie star portrayed by Ben Stiller in the satirical war comedy film "Tropic Thunder."
-
B.
Benny the Cab
Benny the Cab is a wisecracking, anthropomorphic taxicab character from the live-action/animated film "Who Framed Roger Rabbit."
-
C.
Mr. Teabag
Mr. Teabag is a comically absurd civil servant portrayed by John Cleese in Monty Python’s “Ministry of Silly Walks” sketch, known for his exaggerated, nonsensical way of walking.
-
D.
Stuber
Stuber is a 2019 action-comedy film about a mild-mannered rideshare driver who gets roped into helping a tough cop track down a criminal, starring Kumail Nanjiani and Dave Bautista.
-
E.
Tip and Tap
Tip and Tap are the twin boy mascots created to represent West Germany as the official characters of the 1974 FIFA World Cup.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc553a08190ba361675901496ed |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5172abc81909cfa709ea866dc57 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e65f868c819099b4fbf129773e6d |
completed | March 14, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e6bc95cc8190852b833e111cd889 |
completed | March 14, 2026, 4:40 a.m. |
Created at: March 8, 2026, 3:35 p.m.