Triple
T8515650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Farmiga |
E201564
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Orphan |
E738832
|
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: Orphan | Statement: [Vera Farmiga, starredIn, Orphan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orphan Context triple: [Vera Farmiga, starredIn, Orphan]
-
A.
Orphan
Orphan is a musical act associated with the experimental rock band Dope Body, likely sharing members or stylistic influences within the noise rock and punk scenes.
-
B.
Orphan
chosen
Orphan is a 2009 psychological horror film about a couple who adopt a mysterious young girl whose disturbing behavior reveals a dark and shocking secret.
-
C.
Orphans
Orphans is a stage play by Lyle Kessler, best known for its intense three-character drama about two orphaned brothers and a mysterious businessman who upends their lives.
-
D.
Orphans
Orphans is a comic book series written by Eric Palicki, known for its gritty, character-driven storytelling centered on loss, family, and survival.
-
E.
Orphans
Orphans is a darkly comic Scottish drama film exploring grief and family tensions over the course of a chaotic night in Glasgow.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60f37b0819082ae14e539f57b56 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d37df3081909d8d38363b8d2304 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:15 p.m.