Triple
T15273994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Ochs |
E365089
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ochs |
E157080
|
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: Ochs | Statement: [Phil Ochs, familyName, Ochs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ochs Context triple: [Phil Ochs, familyName, Ochs]
-
A.
Ochs
chosen
Ochs is a surname most prominently associated with the Ochs-Sulzberger family, the longtime publishers and owners of The New York Times.
-
B.
Welch
Welch is a surname of English origin borne by various notable individuals across fields such as entertainment, science, and politics.
-
C.
Welch
Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
-
D.
Osko
Osko is an Australian real-time payment service that enables fast, secure, and data-rich bank transfers between participating financial institutions.
-
E.
Hoechlin
Hoechlin is the surname of American actor Tyler Hoechlin, known for roles in series like "Teen Wolf" and "Superman & Lois."
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6069f488190b74793200e5698ff |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.