Triple
T9452130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Ken Park |
E227917
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Damona |
E801279
|
NE FINISHED |
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: Damona | Statement: [Dr. Ken Park, hasColleague, Damona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damona Context triple: [Dr. Ken Park, hasColleague, Damona]
-
A.
Damona
chosen
Damona is a main character on the sitcom "Dr. Ken," known as Ken's sharp-tongued, loyal receptionist and friend.
-
B.
Morgiana
Morgiana is a clever and resourceful slave girl in the tale of "Ali Baba and the Forty Thieves" from The Arabian Nights, famed for outwitting the thieves and saving her master.
-
C.
Clorinda
Clorinda is a heroic warrior woman in Torquato Tasso’s epic poem "Gerusalemme liberata," renowned for her valor, tragic fate, and complex relationship with the Christian knight Tancredi.
-
D.
Clorinda
Clorinda is a border city in northeastern Argentina’s Formosa Province, located opposite Asunción, Paraguay, and serving as an important regional commercial and transport hub.
-
E.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f68f9b081908bee041d4fc77e57 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cdd08c08190b9a140e2634c4cf9 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:52 p.m.