Triple
T16742875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Loeb |
E406875
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Henry |
E254557
|
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: Henry | Statement: [Henry Loeb, givenName, Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Context triple: [Henry Loeb, givenName, Henry]
-
A.
Henry
Henry is the given name of Henry Vaughan Lanchester, an English architect and urban planner active in the late 19th and early 20th centuries.
-
B.
Henry
Henry is the central character of Henry James's novella "The Real Thing," around whom the story's exploration of art, class, and authenticity revolves.
-
C.
Henry
Henry is the protagonist of the romantic comedy film "The First Time," around whom the story’s coming-of-age relationship and emotional growth revolve.
-
D.
Henry
chosen
Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
-
E.
Henry
Henry is the middle name of the famed American gambler, gunfighter, and dentist Doc Holliday.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa205138819080284fd9a4341225 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d52d88081909695a08d00bd2257 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:21 a.m.