Triple
T36017354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunny Khan |
E1041879
|
entity |
| Predicate | hasColleagueInStory |
P121400
|
FINISHED |
| Object |
Jess James
Jess James is a fictional character who appears as a colleague of Sunny Khan in the same narrative.
|
E2164608
|
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: Jess James | Statement: [Sunny Khan, hasColleagueInStory, Jess James]
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: Jess James Triple: [Sunny Khan, hasColleagueInStory, Jess James]
Generated description
Jess James is a fictional character who appears as a colleague of Sunny Khan in the same narrative.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColleagueInStory Context triple: [Sunny Khan, hasColleagueInStory, Jess James]
-
A.
hasAffiliationInStory
Indicates that one entity is affiliated with, associated with, or connected to another entity within the context of a specific story or narrative.
-
B.
hasAllyInStory
Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
-
C.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
-
D.
hasCompanionColleague
chosen
Indicates that one entity has another entity as a colleague who also serves as a companion or close associate.
-
E.
hasStaffTypeInStory
Indicates that a story involves or is associated with a particular type or category of staff.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38bffe46f08190badbf2a6df84a44f |
completed | June 22, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_6a38c088eb848190a35f4cff5101fea5 |
completed | June 22, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38c11341d48190a70b63b26023add0 |
completed | June 22, 2026, 4:58 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.