Triple
T15747913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drew Fuller |
E381765
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Perfect on Paper |
E1174301
|
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: Perfect on Paper | Statement: [Drew Fuller, appearedIn, Perfect on Paper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfect on Paper Context triple: [Drew Fuller, appearedIn, Perfect on Paper]
-
A.
Perfect on Paper
chosen
Perfect on Paper is a romantic comedy film featuring actor Drew Fuller in a leading role.
-
B.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
C.
The Perfection
The Perfection is a psychological horror-thriller film starring Allison Williams that follows a twisted, suspenseful story set in the world of elite classical musicians.
-
D.
The Overwhelming
The Overwhelming is an English rendering of the Arabic term "Al-Ghashiyah," referring to the all-encompassing event of the Day of Judgment described in the Qur'anic chapter Surah Al-Ghashiyah.
-
E.
The Overwhelming
The Overwhelming is a political drama play by J.T. Rogers that follows an American academic and his family caught in the escalating violence of pre-genocide Rwanda in 1994.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502d72008190b4d13a6b3a12e467 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:46 a.m.