Triple
T26835531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dottie |
E675619
|
entity |
| Predicate | hasCoStarHumanCharacter |
P197084
|
FINISHED |
| Object | Chloe Simon |
—
|
NE NERFINISHED |
How this triple was built (2 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: Chloe Simon | Statement: [Dottie, hasCoStarHumanCharacter, Chloe Simon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoStarHumanCharacter Context triple: [Dottie, hasCoStarHumanCharacter, Chloe Simon]
-
A.
hasCoStarDogCharacter
Indicates that an entity appears together with a dog character as a co-starring role in the same work.
-
B.
hasPersona
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
-
C.
hasCoachCharacter
Indicates that one entity serves as the coach or trainer character associated with another entity.
-
D.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
E.
hasCoRepresentativeRole
Indicates that an entity shares or holds a co-representative role or position alongside another entity within the same representational context.
- F. None of above. chosen
Provenance (4 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
| PDg | Predicate description generation | batch_69fe779167648190936bd49cc1049178 |
completed | May 8, 2026, 11:53 p.m. |
Created at: April 27, 2026, 5:04 a.m.