Triple
T9825664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Towne |
E238646
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Personal Best |
E823726
|
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: Personal Best | Statement: [Robert Towne, directed, Personal Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Personal Best Context triple: [Robert Towne, directed, Personal Best]
-
A.
Personal Best
chosen
Personal Best is a 1982 American sports drama film about female track-and-field athletes, written and directed by Robert Towne.
-
B.
The Best at It
The Best at It is a middle-grade novel by Maulik Pancholy about an Indian American boy navigating identity, anxiety, and first crushes in a small Midwestern town.
-
C.
Be Best
Be Best is a public awareness campaign launched by former U.S. First Lady Melania Trump focused on promoting children’s well-being, online safety, and anti-bullying efforts.
-
D.
The Best
"The Best" is a powerful pop-rock anthem popularized by Tina Turner that has become one of her signature songs and an enduring inspirational hit.
-
E.
The Better Me
"The Better Me" is a motivational track from the podcast "On Purpose" that focuses on personal growth and self-improvement.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5bc17c08190ad094def4fbf9921 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:31 p.m.