Triple
T23927752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Adler |
E602403
|
entity |
| Predicate | hasExFiancé |
P45772
|
FINISHED |
| Object |
Danny
Danny is a recurring character on the sitcom "Will & Grace," known primarily as Grace Adler’s ex-fiancé.
|
E1611650
|
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: Danny | Statement: [Grace Adler, hasExFiancé, Danny]
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: Danny Triple: [Grace Adler, hasExFiancé, Danny]
Generated description
Danny is a recurring character on the sitcom "Will & Grace," known primarily as Grace Adler’s ex-fiancé.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExFiancé Context triple: [Grace Adler, hasExFiancé, Danny]
-
A.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
-
B.
hasExPartner
chosen
Indicates that one entity was formerly in a romantic or intimate partnership with another entity, but that relationship has ended.
-
C.
hasCivilStatus
Indicates the civil or marital status that applies to a person or entity (e.g., single, married, divorced).
-
D.
engagedTo
Indicates that two entities are formally committed to marry each other.
-
E.
hasGroom
Indicates that an entity has a groom, i.e., is associated with a male partner in a marriage or wedding relationship.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1efb348190b4cbb32b3b6c9ae4 |
completed | April 29, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7e6d101881909070cfae458437ad |
completed | May 21, 2026, 9:51 p.m. |
| NEDg | Description generation | batch_6a0f7f4ce09081908de47029b8ffc097 |
completed | May 21, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f7fe13a2481908644e45e96abacce |
completed | May 21, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:49 p.m.