Triple
T25743712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannibal Brooks |
E648286
|
entity |
| Predicate | elephantCharacterName |
P114777
|
FINISHED |
| Object |
Lucy
Lucy is the elephant companion featured in the 1969 war comedy film "Hannibal Brooks."
|
E1695294
|
NE FINISHED |
How this triple was built (3 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: Lucy | Statement: [Hannibal Brooks, elephantCharacterName, Lucy]
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: Lucy Triple: [Hannibal Brooks, elephantCharacterName, Lucy]
Generated description
Lucy is the elephant companion featured in the 1969 war comedy film "Hannibal Brooks."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elephantCharacterName Context triple: [Hannibal Brooks, elephantCharacterName, Lucy]
-
A.
primaryElephantName
chosen
Indicates that the specified name is the main or official name assigned to a particular elephant.
-
B.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
C.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
-
D.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on another entity.
-
E.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
- F. None of above.
Provenance (6 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1d64c081909bcb839fdfd297d0 |
completed | May 2, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc07ad188190882170696e347322 |
completed | May 22, 2026, 9:35 p.m. |
| NEDg | Description generation | batch_6a10cfdb3eac8190ad106e3ba2da8576 |
completed | May 22, 2026, 9:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10d043b16c8190945134dd13a83769 |
completed | May 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:48 a.m.