Triple
T14947361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nia Long |
E372699
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Are We There Yet? |
E339420
|
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: Are We There Yet? | Statement: [Nia Long, notableWork, Are We There Yet?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Are We There Yet? Context triple: [Nia Long, notableWork, Are We There Yet?]
-
A.
Are We There Yet? (film)
chosen
Are We There Yet? is a 2005 family road-trip comedy film starring Ice Cube as a bachelor trying to win over a divorced mother and her mischievous children.
-
B.
Are We Done Yet?
Are We Done Yet? is a 2007 family comedy film starring Ice Cube as a father struggling with the chaos of renovating a new suburban home.
-
C.
Going There
"Going There" is a memoir by American journalist and television personality Katie Couric, chronicling her personal life, career, and behind-the-scenes experiences in the media industry.
-
D.
Until We Get There
"Until We Get There" is a song by the indie pop band Lucius from their debut studio album, Wildewoman.
-
E.
Get Me There
Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e963c548190b3a06ffbbb3298b2 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.