Triple
T7136573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Congreve |
E166319
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Angelica
Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
|
E644560
|
NE FINISHED |
How this triple was built (4 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: Angelica | Statement: [William Congreve, hasCharacter, Angelica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelica Context triple: [William Congreve, hasCharacter, Angelica]
-
A.
Angelica
Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
-
B.
Angelica archangelica
Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
-
C.
Angelica Rush
Angelica Rush is the daughter of Australian actress Jane Menelaus and actor Geoffrey Rush.
-
D.
Valerian
Valerian was a 3rd-century Roman emperor whose reign is most remembered for his catastrophic defeat and capture by the Sasanian king Shapur I.
-
E.
Valerian
Valerian is a space-traveling special agent and the central protagonist of the science fiction film "Valerian and the City of a Thousand Planets."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Angelica Triple: [William Congreve, hasCharacter, Angelica]
Generated description
Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angelica Target entity description: Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
-
A.
Angelica
Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
-
B.
Angelica archangelica
Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
-
C.
Angelica Rush
Angelica Rush is the daughter of Australian actress Jane Menelaus and actor Geoffrey Rush.
-
D.
Valerian
Valerian is a space-traveling special agent and the central protagonist of the science fiction film "Valerian and the City of a Thousand Planets."
-
E.
Valerian
Valerian was a 3rd-century Roman emperor whose reign is most remembered for his catastrophic defeat and capture by the Sasanian king Shapur I.
- F. None of above. chosen
Provenance (5 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a348a748819082f87039ea79f251 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a45e81bc8190bf4c47e3bb5fe077 |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4f074708190a5ce0a863ffd4f25 |
completed | March 28, 2026, 9:52 a.m. |
Created at: March 27, 2026, 2:45 p.m.