Triple
T4267554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Garfield |
E96861
|
entity |
| Predicate | portrayedIn |
P626
|
FINISHED |
| Object | Boy A |
E425614
|
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: Boy A | Statement: [Andrew Garfield, portrayedIn, Boy A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boy A Context triple: [Andrew Garfield, portrayedIn, Boy A]
-
A.
Boy A
chosen
Boy A is a 2007 British drama film starring Andrew Garfield as a young man trying to rebuild his life after being released from prison for a notorious childhood crime.
-
B.
Young Boy
"Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
-
C.
Young Boy
"Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
-
D.
Animal Boy
"Animal Boy" is a 1986 punk rock album by the Ramones that blends their classic high-energy sound with more politically charged and socially conscious themes.
-
E.
The Boy
The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fce710481909d90ed4a3d150fde |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c71c9b488190abbca16d3ea70ae8 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.