Triple
T12683612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love Sarah Jane |
E303008
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Terry
Terry is a character from the short film "I Love Sarah Jane," which follows a group of kids navigating adolescence and survival in a zombie-infested world.
|
E997785
|
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: Terry | Statement: [I Love Sarah Jane, hasCharacter, Terry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Context triple: [I Love Sarah Jane, hasCharacter, Terry]
-
A.
Terry
Terry is a central character associated with Calvero, likely someone he mentors or supports during a pivotal period in their story.
-
B.
Terry
Terry is a surname of English origin borne by various notable individuals, including military figures such as Alfred Terry.
-
C.
Terry Richard
Terry Richard is known as a former spouse of American singer and actor Eddie Fisher.
-
D.
Terrence
Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
-
E.
Terrence
Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
- 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: Terry Triple: [I Love Sarah Jane, hasCharacter, Terry]
Generated description
Terry is a character from the short film "I Love Sarah Jane," which follows a group of kids navigating adolescence and survival in a zombie-infested world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terry Target entity description: Terry is a character from the short film "I Love Sarah Jane," which follows a group of kids navigating adolescence and survival in a zombie-infested world.
-
A.
Terry
Terry is a central character associated with Calvero, likely someone he mentors or supports during a pivotal period in their story.
-
B.
Terry
Terry is a surname of English origin borne by various notable individuals, including military figures such as Alfred Terry.
-
C.
Terry Richard
Terry Richard is known as a former spouse of American singer and actor Eddie Fisher.
-
D.
Terrence
Terrence is the first name of Pusha T, an American rapper, songwriter, and record executive known for his sharp lyricism and work as half of the duo Clipse.
-
E.
Terrence
Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6732ea7408190a95f0a5f983dfdb7 |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:21 p.m.