Triple
T6966168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 704 Hauser |
E161492
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
T.E. Russell
T.E. Russell is an American actor best known for his role on the short-lived 1994 sitcom "704 Hauser," a spin-off of "All in the Family."
|
E634211
|
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: T.E. Russell | Statement: [704 Hauser, portrayedBy, T.E. Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T.E. Russell Context triple: [704 Hauser, portrayedBy, T.E. Russell]
-
A.
Robert Tor Russell
Robert Tor Russell was a British architect and town planner known for his prominent work in colonial-era New Delhi, India.
-
B.
Robert Russell
Robert Russell is an author best known for co-writing the musical "Flora the Red Menace," which marked Liza Minnelli’s Broadway debut.
-
C.
Robert Russell
Robert Russell is a computer engineer best known for his key role in developing and designing the Commodore 64 home computer.
-
D.
J. Russell Spencer
J. Russell Spencer was a film art director known for his work on classic Hollywood productions such as the noir drama "Nightmare Alley."
-
E.
R. G. Tifft
R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
- 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: T.E. Russell Triple: [704 Hauser, portrayedBy, T.E. Russell]
Generated description
T.E. Russell is an American actor best known for his role on the short-lived 1994 sitcom "704 Hauser," a spin-off of "All in the Family."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T.E. Russell Target entity description: T.E. Russell is an American actor best known for his role on the short-lived 1994 sitcom "704 Hauser," a spin-off of "All in the Family."
-
A.
Robert Tor Russell
Robert Tor Russell was a British architect and town planner known for his prominent work in colonial-era New Delhi, India.
-
B.
Robert Russell
Robert Russell is an author best known for co-writing the musical "Flora the Red Menace," which marked Liza Minnelli’s Broadway debut.
-
C.
Robert Russell
Robert Russell is a computer engineer best known for his key role in developing and designing the Commodore 64 home computer.
-
D.
J. Russell Spencer
J. Russell Spencer was a film art director known for his work on classic Hollywood productions such as the noir drama "Nightmare Alley."
-
E.
R. G. Tifft
R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db121174819098e73e45f6c9cc91 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a04a77c8190959056a68a349f6e |
completed | March 28, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69c76ac527408190ab72d2e66a8f1bf5 |
completed | March 28, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76b54d83081909b08d9b092a38344 |
completed | March 28, 2026, 5:47 a.m. |
Created at: March 27, 2026, 2:30 p.m.