Triple
T9547508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffy Gerhardt |
E230330
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object |
Kim Brown
Kim Brown is an individual known primarily through a close personal association with Tiffy Gerhardt.
|
E805461
|
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: Kim Brown | Statement: [Tiffy Gerhardt, closeTo, Kim Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Brown Context triple: [Tiffy Gerhardt, closeTo, Kim Brown]
-
A.
Kim Brown
Kim Brown is the central protagonist of "The Unit," around whom the story’s events and character dynamics primarily revolve.
-
B.
Lindsay Dole
Lindsay Dole is a driven and morally conflicted defense attorney on the legal drama series "The Practice," known for her complex personal and professional relationships within the firm.
-
C.
Mary Lou Fulton
Mary Lou Fulton was an American philanthropist and education advocate whose major gifts significantly supported teacher education and higher learning initiatives.
-
D.
Cecilia Abbott
Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
-
E.
Laura Kelly
Laura Kelly is an American Democratic politician serving as the governor of Kansas.
- 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: Kim Brown Triple: [Tiffy Gerhardt, closeTo, Kim Brown]
Generated description
Kim Brown is an individual known primarily through a close personal association with Tiffy Gerhardt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Brown Target entity description: Kim Brown is an individual known primarily through a close personal association with Tiffy Gerhardt.
-
A.
Kim Brown
Kim Brown is the central protagonist of "The Unit," around whom the story’s events and character dynamics primarily revolve.
-
B.
Lindsay Dole
Lindsay Dole is a driven and morally conflicted defense attorney on the legal drama series "The Practice," known for her complex personal and professional relationships within the firm.
-
C.
Mary Lou Fulton
Mary Lou Fulton was an American philanthropist and education advocate whose major gifts significantly supported teacher education and higher learning initiatives.
-
D.
Cecilia Abbott
Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
-
E.
Laura Kelly
Laura Kelly is an American Democratic politician serving as the governor of Kansas.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9904732c8190ab60ecc47c995cbe |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c7be5008190a16036525fd9059e |
completed | April 4, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_69d14d4576488190a000f733ece39620 |
completed | April 4, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14dda805c81908093eb146915fdda |
completed | April 4, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:02 p.m.